krips2398
Master's in Data Science @ Columbia Ex-Machine Learning Engineer - Freshworks
New York, United States
Pinned Repositories
cc21fall1
Source files for EDAV Fall 2021 Mon / Wed Community Contribution Project
diabetesprediction
Using Pima Indians diabetes data set to predict whether a patient has diabetes or not based upon patient’s lab test result variables like Glucose, Blood Pressure, etc. using CART decision tree algorithm and K-Nearest Model achieving 76% accuracy. Python-Scikit Learn, SciPy, Pandas, MatPlotLib.
dialogflow-python-client
Python library for Dialogflow
dialogflow-python-client-v2
Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
hNm_fashion_Recommendation_system
my-app-sample
sample app for tutotrial
tensorflow_learnings
Notebooks for varioius tensorflow learnings and projects for tensorflow
Text-Classification-Using-NLP
Text-Summarization-using-NLP
Twitter-Sentiment-Analysis
krips2398's Repositories
krips2398/hNm_fashion_Recommendation_system
krips2398/vegan-planet
Bookdown source files for EDAV final project
krips2398/cc21fall1
Source files for EDAV Fall 2021 Mon / Wed Community Contribution Project
krips2398/tensorflow_learnings
Notebooks for varioius tensorflow learnings and projects for tensorflow
krips2398/Twitter-Sentiment-Analysis
krips2398/Text-Summarization-using-NLP
krips2398/Text-Classification-Using-NLP
krips2398/my-app-sample
sample app for tutotrial
krips2398/dialogflow-python-client-v2
Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
krips2398/dialogflow-python-client
Python library for Dialogflow
krips2398/Udacity-DAND-T1-P3-Investigate-a-Dataset
Udacity Data Analyst Nanodegree - Term 1 - Project 2 (Investigate a Dataset)
krips2398/diabetesprediction
Using Pima Indians diabetes data set to predict whether a patient has diabetes or not based upon patient’s lab test result variables like Glucose, Blood Pressure, etc. using CART decision tree algorithm and K-Nearest Model achieving 76% accuracy. Python-Scikit Learn, SciPy, Pandas, MatPlotLib.